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Veronika [31]
1 year ago
8

In ΔLMN, n = 960 cm, ∠L=160° and ∠M=10°. Find the length of l, to the nearest centimeter.

Mathematics
2 answers:
Shtirlitz [24]1 year ago
4 0

Answer:

Step-by-step explanation:

nh

Alexxandr [17]1 year ago
3 0

Answer:

1,890.8cm

Step-by-step explanation:

Sine law!! So drawing the triangle helps, We know that the angle n is 10 because 180 - 10 -160 =10. Knowing that you can now use the sine law.

x/sin160 = 960/ sin 10

x= sin 160 (5528.4)

x= 1890.8cm

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Hello there,

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11/7


Answer: 11/7


Hope I helped!!

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18. A normal population has a mean of 80.0 and a standard deviation of 14.0. a. Compute the probability of a value between 75.0
mixer [17]

Answer:

a) 40.17% probability of a value between 75.0 and 90.0.

b) 35.94% probability of a value 75.0 or less.

c) 20.22% probability of a value between 55.0 and 70.0.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 80, \sigma = 14

a. Compute the probability of a value between 75.0 and 90.0.

This is the pvalue of Z when X = 90 subtracted by the pvalue of Z when X = 75.

X = 90

Z = \frac{X - \mu}{\sigma}

Z = \frac{90 - 80}{14}

Z = 0.71

Z = 0.71 has a pvalue of 0.7611

X = 75

Z = \frac{X - \mu}{\sigma}

Z = \frac{75 - 80}{14}

Z = -0.36

Z = -0.36 has a pvalue of 0.3594

0.7611 - 0.3594 = 0.4017

40.17% probability of a value between 75.0 and 90.0.

b. Compute the probability of a value 75.0 or less.

This is the pvalue of Z when X = 75. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{75 - 80}{14}

Z = -0.36

Z = -0.36 has a pvalue of 0.3594

35.94% probability of a value 75.0 or less.

c. Compute the probability of a value between 55.0 and 70.0.

This is the pvalue of Z when X = 70 subtracted by the pvalue of Z when X = 55.

X = 70

Z = \frac{X - \mu}{\sigma}

Z = \frac{70 - 80}{14}

Z = -0.71

Z = -0.71 has a pvalue of 0.2389

X = 55

Z = \frac{X - \mu}{\sigma}

Z = \frac{55 - 80}{14}

Z = -1.79

Z = -1.791 has a pvalue of 0.0367

0.2389 - 0.0367 = 0.2022

20.22% probability of a value between 55.0 and 70.0.

6 0
2 years ago
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